Definition
Introducing malicious, misleading, or strategically biased data into training, tuning, retrieval, memory, or evaluation pipelines to alter later behavior.
Distinguish it from nearby terms
Training-data poisoning changes learned behavior; retrieval or memory poisoning changes runtime context without retraining.
Check your understanding
Track provenance and mutation rights across every data plane, not only the training corpus.